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acquire their fate and establish precise connectivity with target brain regions during development, and how these processes are altered by stress and pathology. To address these questions, the team combines
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everyday practices of street-level bureaucrats and private actors involved in eviction processes. Using a comparative mixed-methods approach, the project combines: Quantitative analysis of eviction court
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and publish in academic journals. INFORMATION AND APPLICATION PROCESS Application deadline : 30.04.2026 Starting date : Fall 2026 (flexible) Duration : 2-year renewable once Information and application
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(guillaume.berionni [@]unamur.be) until April 15th, 2026. Selection process Presentation of PhD work (30 min) followed by oral interview (60 min) by two members of the chemistry department in April / May 2026. Soon to
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experience with PyTorch. You have a track record of publishing in top image processing / computer vision journals. Your research qualities are in line with the faculty and university research policies . You
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study programmes grounded in research in a wide range of academic fields, Ghent University is a logical choice for its staff and students. YOUR TASKS Characterizing, processing and integrating custom
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Description VIB.AI, the VIB Center for AI & Computational Biology, is a young research center dedicated to combining machine learning with in-depth knowledge of biological processes. Our mission is
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acquire their fate and establish precise connectivity with target brain regions during development, and how these processes are altered by stress and pathology. To address these questions, the team combines
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processing and estimation algorithms for positioning in high-dynamics NTN scenarios, accounting for satellite mobility, Doppler effects, and time-varying propagation conditions Exploring GNSS-5G coexistence
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members undertake research in various fields of expertise. Selection process The application form can be downloaded from the University of Namur website (https://www.unamur.be/en/university/work/forms